Identification of optimal urban solid waste flow schemes under impacts of energy prices

Environmental Engineering Science

Volumn 25, Issue 5, 2008, Pages 685-695

  Huang, Guo He ^a,b   He, Li ^a   Zeng, Guang Ming ^c   Lu, Hong Wei ^a  

^a UNIVERSITY OF REGINA   (Canada)

^b NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^c HUNAN UNIVERSITY   (China)

Author keywords

Energy price; Fuzzy interval semi infinite programming; Uncertainty; Urban solid waste; Waste flow

Indexed keywords

COMPUTER NETWORKS; DYNAMIC PROGRAMMING; EIGENVALUES AND EIGENFUNCTIONS; FLOW PATTERNS; FUNCTIONAL PROGRAMMING; FUZZY LOGIC; LINEAR PROGRAMMING; LINEARIZATION; MANAGEMENT; MICROFLUIDICS; NONLINEAR PROGRAMMING; PARTICLE SIZE ANALYSIS; SYSTEMS ENGINEERING;

(R ,S ,S) POLICY; APPLIED (CO); CASE STUDIES; ENERGY PRICING; FLEXIBLE PATTERNS; FUZZY INTERVALS; LINEAR PROGRAMMING (LP) MODELS; MANAGEMENT POLICIES; NET SYSTEMS; PARAMETER UNCERTAINTIES; SATISFACTORY DEGREE; SEMI INFINITE PROGRAMMING (SIP); SYSTEM FAILURES; URBAN SOLID WASTE; WASTE FLOWS;

WASTE MANAGEMENT;

ARTICLE; COMPUTER MODEL; COST EFFECTIVENESS ANALYSIS; ENERGY COST; FLOW MEASUREMENT; FUZZY INTERVAL LINEAR PROGRAMMING; FUZZY SYSTEM; HEALTH CARE POLICY; INTERMETHOD COMPARISON; INTERVAL SEMI INFINITE PROGRAMMING MODEL; LINEAR PROGRAMMING MODEL; NONHUMAN; PROCESS OPTIMIZATION; SEMI INFINITE PROGRAMMING MODEL; SOLID WASTE MANAGEMENT; STATISTICAL MODEL; UNCERTAINTY; URBAN AREA;

EID: 45149133964     PISSN: 10928758     EISSN: None     Source Type: Journal    
DOI: 10.1089/ees.2007.0078     Document Type: Article

References (35)

1. Apul, D., Gardner, K., Eighmy, T., et al. (2005). Probabilistic modeling of one-dimensional water movement and leaching from highway embankments containing secondary materials. Environ. Eng. Sci. 22, 156.
2. Boccelli, D.L., Small, M.J., and Dzombak, D.A. (2006). Effects of water quality and model structure on arsenic removal simulation: an optimization study. Environ. Eng. Sci. 23, 835.
3. Chang, N.B., and Wang, S.F. (1997). A fuzzy goal programming approach for the optimal planning of metropolitan solid waste management systems. Eur. J. Oper. Res. 99, 287.
4. Chang, N.B., Wen C.G., and Yong, Y.C. (1996a). A grey fuzzy multiobjective programming approach for the optimal planning of a reservoir watershed, part A: Theoretical development. Water Res. 30, 2329.
5. Chang, N.B., Wen, C.G., and Yong, Y.C. (1996b). A grey fuzzy multiobjective programming approach for the optimal planning of a reservoir watershed, part B: Application. Water Res. 30, 2335.
6. Chi, G.F., and Huang, G.H. (1998). Long-term planning of integrated solid waste management system under uncertainty. Report submitted to the City of Regina. University of Regina, Saskatchewan, Canada.
7. Geletu, A., and Hoffmann, A. (2004). A conceptual method for solving generalized semi-infinite problems via global optimization by exact discontinuous penalization. Eur. J. Oper. Res. 157, 3.
8. Goberna, M.A., and López, M.A. (2002). Linear semi-infinite programming theory: An updated survey. Eur. J. Oper. Res. 143, 390.
9. He, L., Chan, C.W., Huang, G.H., and Zeng, G.M. (2006). A probabilistic reasoning-based decision support system for selecting remediation technologies for petroleum-contaminated sites. Expert Syst. Appl. 30, 783.
10. He, L., Huang, G.H., and Zeng, G.M. (2007). Wavelet-based multiresolution analysis technique for data cleaning and its application to water quality management system. Expert Syst. Appl. doi: 10.1016/j.eswa.2007.08.009.
11. He, L., Huang, G.H., and Zeng, G.M. (2008). Identifying optimal regional solid waste management strategies through a new inexact integer programming model containing infinite objectives and constraints. Waste Manage. doi: 10.1016/j.wasman.2008.02.003.
12. Huang, G.H., Baetz, B.W., and Patry, G.G. (1993). Grey fuzzy dynamic programming: Application to municipal solid waste management planning problems. Civil Eng. Syst. 11, 43.
13. Huang, G.H., Baetz, B.W., and Patry, G.G. (1994). A grey fuzzy linear programming approach for municipal solid waste management planning under uncertainty. Civil Eng. Syst. 10, 123.
14. Huang, G.H., Baetz, B.W., and Patry, G.G. (1995). Grey fuzzy integer programming: An application to regional waste management under uncertainty. Socio-Econ. Plann. Sci. 29, 17.
15. Huang, Y. F., Baetz, B.W., Huang, G.H., et al. (2002). Violation analysis for solid waste management systems: an interval fuzzy programming approach. J. Environ. Manage. 65, 431.
16. Inuiguchi, M., Ichihashi, H., and Tanaka, H. (1990). Fuzzy programming: A survey of recent developments. In R. Slowinski, and J. Teghem, Eds. Stochastic versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty. Dordrecht, Germany; Kluwer Academic Publishers, p. 45.
17. Jenkins, L. (1982). Parametric mixed integer programming: An application to solid waste management. Manage. Sci. 28, 1270.
18. Karmakar, S., and Mujumdar, P.P. (2006). Grey fuzzy optimization model for water quality management of a river system. Adv. Water Resour. 29, 1088.
19. Karmakar, S., and Mujumdar, P.P. (2007). A two-phase grey fuzzy optimization approach for water quality management of a river system. Adv. Water Resour. 30, 1218.
20. Koo, J.K., Shin, H.S., and Yoo, H.C. (1991). Multi-objective siting planning for a regional hazardous waste treatment center. Waste Manage. Res. 9, 205.
21. Lee, Y.W., Bogardi, I., and Stansbury, J. (1991). Fuzzy decision making in dredged-material management. J. Environ. Eng.-ASCE 117, 614.
22. Lin, Y.P., Huang, G.H., Lu, H.W., et al. (2007). Modeling of substrate degradation and oxygen consumption in waste composting processes. Waste Manage. doi: 10.1016/j.wasman.2007.09.016.
23. Liu, L., Huang, G.H., Liu, Y., et al. (2003). A fuzzy-stochastic robust programming model for regional air quality management under uncertainty. Eng. Optimizat. 35, 177.
24. Lu, H.W., Huang, G.H., He, L., and Zeng, G.M. (2007a). An inexact dynamic optimization model for municipal solid waste management in association with greenhouse gas emission control. J. Environ. Manage. doi: 10.1016/j.jenvman.2007.10.011.
25. Lu, H.W., Huang, G.H., Zeng, G.M., et al. (2007b). An inexact two-stage fuzzy-stochastic programming model for water resources management. Water Resour. Manag. doi: 10.1007/s11269-007-9206-8.
26. Maqsood, I., Yeomans, J.S., Huang, G.H., et al. (2005). An interval-parameter fuzzy two-stage stochastic programming approach for water resources management under uncertainty. Eur. J. Oper. Res. 167, 208.
27. Moore, R.E., and Yang, C.T. (1959). Interval analysis. Applied Mathematics. Technical Document. Lockheed Aircraft Corporation, Missiles and Space Division. Sunnyvale, CA.
28. Norrman, J. Rosen, L., and Norin, M. (2005). Decision analysis for storage for reclaimed asphalt. Environ. Eng. Sci. 22, 783.
29. Sae-Lim, N. (1999). Long-term planning of a solid waste management system under uncertainty - An inexact optimization approach. M.A.Sc. Thesis, University of Regina, Regina, Saskatchewan, Canada.
30. Stein, O., and Still, G. (2002). On generalized semi-infinite optimization and bilevel optimization. Eur. J. Oper. Res. 142, 444.
31. Thompson, S., and Tanapat, S. (2005). Modeling waste management options for greenhouse gas reduction. J. Environ. Informatics 6, 16.
32. Vaz, A.I.F., Fernandes, E.M.G.P., and Gomes, M.P.S.F. (2004). Robot trajectory planning with semi-infinite programming. Eur. J. Oper. Res. 153, 607.
33. Yeomans, J.S., Huang, G.H., and Yoogalingam, R. (2003). Combining simulation with evolutionary algorithms for optimal planning under uncertainty: An application to municipal solid waste management planning in the regional municipality of Hamilton-Wentworth. J. Environ. Informatics 2, 11.
34. Zeng, Y., and Trauth, K.M. (2005). Internet-based fuzzy multicriteria decision support system for planning integrated solid waste management. J. Environ. Informatics 6, 1.
35. Zimmerman, H.J. (1984). Fuzzy Sets and Decision Analysis. Amsterdam: Elsevier Science.